Jump to ContentJump to Main Navigation
Data Science and Complex NetworksReal Case Studies with Python$
Users without a subscription are not able to see the full content.

Guido Caldarelli and Alessandro Chessa

Print publication date: 2016

Print ISBN-13: 9780199639601

Published to Oxford Scholarship Online: December 2016

DOI: 10.1093/acprof:oso/9780199639601.001.0001

Show Summary Details
Page of

PRINTED FROM OXFORD SCHOLARSHIP ONLINE (www.oxfordscholarship.com). (c) Copyright Oxford University Press, 2019. All Rights Reserved. An individual user may print out a PDF of a single chapter of a monograph in OSO for personal use. date: 22 August 2019

Food Webs

Food Webs

(p.4) 1 Food Webs
Data Science and Complex Networks

Guido Caldarelli

Alessandro Chessa

Oxford University Press

Networks perfectly capture the complexity of ecosystems. Food webs are the result of multiple predation relationships between species living in the same habitat. Through complex network tools it is possible to uncover the inner hierarchical structure and the robustness of these natural systems. Food webs are also simple systems and this lets us introduce basic network measures like the degree, degree sequence, clustering coefficient, the distance in a graph, and its bowtie structure. These measures will be the basis for the computation of typical characteristics of food webs such as connectance, classes, and trophic species.

Keywords:   food web, degree, clustering, class, trophic species

Oxford Scholarship Online requires a subscription or purchase to access the full text of books within the service. Public users can however freely search the site and view the abstracts and keywords for each book and chapter.

Please, subscribe or login to access full text content.

If you think you should have access to this title, please contact your librarian.

To troubleshoot, please check our FAQs , and if you can't find the answer there, please contact us .